Senior Principal Engineer
About the team
Our SambaStack inference serving platform is pushing the boundaries of generative AI and large language models. We are a team of passionate innovators tackling some of the world’s most challenging computational problems.
About the role
SambaNova is hiring Principal Software Engineers for the SambaStack platform.
We help enterprises and service providers host their own AI inference platforms, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) architecture.
Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale.
As a Principal Software Engineer on the SambaStack team, you will:
Improve performance, scalability, and reliability
Introduce new features and platform capabilities
Design and build components for a state-of-the-art inference serving platform
Drive technical execution across critical infrastructure initiatives
This is a high-impact, high-visibility role at the intersection of:
AI infrastructure
Enterprise software
Developer experience
Responsibilities
Some of your responsibilities will include:
Ensure stability, scalability, and performance of the AI inference platform
Collaborate with ML, Product Managers, QA, and DevOps teams
Develop components using Python, Go, and Rust
Build and improve testing frameworks and automation
Design and implement systems for new AI inference challenges
Drive engineering excellence and software quality across the platform
Basic qualifications
8-12 years of software engineering experience
Experience building backend systems in Python, Go, or Rust
Strong experience with Unit testing, Integration testing, and End-to-end testing frameworks
Solid understanding of Kubernetes and Helm Charts
Strong understanding of distributed systems and experience building scalable, reliable services
Excellent problem-solving skills and attention to detail
Ability to collaborate across cross-functional teams
Knowledge of software development best practices and coding standards
Preferred qualifications
Experience with Kubernetes ecosystem, including:
Familiarity with AI inference serving and orchestration
Experience with AI coding assistants and related technologies
Knowledge of ML application optimization and productionization
Ability to design and build cloud-native systems
Base Salary Range:
Base Pay Range
₹8,900,000—₹10,800,000 INR